High Performance Computing in Remote Sensing

• Main Authors: Plaza, Antonio J., Chang, Chein-I
• Format: eBook Book
• Language: English
• Published: Boca Raton Chapman and Hall/CRC 2008; Chapman & Hall; CRC Press LLC; CRC Press
• Edition: 1
• Series: Chapman & Hall/CRC computer and information science series
• Subjects: High performance computing; Remote sensing; High Performance Computing; Endmember Extraction Algorithm; Data Sets; Imaging Spectroscopy; Hyperspectral Imaging; PPI; Execution Time; Remote Sensing Problems; Hyperspectral Data; NASA’s Goddard Space Flight; Pixel Vector; Hyperspectral Image Analysis; Remote Sensing; Remote Sensing Data; CEM; CORDIC; AVIRIS Data Set; Imaging Spectrometer; Grid Computing Environments; Systolic Array; Grid Services; Hyperspectral Data Sets; Endmember Extraction; Reconfigurable Computing; Hyperspectral Image Processing
• ISBN: 1584886625; 9781584886624
• DOI: 10.1201/9781420011616

One of the first volumes to explore state-of-the-art HPC techniques in the context of remote sensing problems, this book focuses on the computational complexity of algorithms that are designed for parallel computing and processing. It addresses key computing concepts and developments in remote sensing and covers application areas not necessarily related to remote sensing, such as multimedia and video processing. Each chapter illustrates a specific parallel computing paradigm, including multiprocessor (cluster-based) systems, large-scale and heterogeneous networks of computers, grid computing platforms, and specialized hardware architectures for remotely sensed data analysis and interpretation.